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| Content Provider | IET Digital Library |
|---|---|
| Author | Sheng, Siqing Zhang, Jingjing |
| Abstract | Capacity configuration optimisation (CCO) for stand-alone micro-grid has become an urgent issue that needs to be addressed effectively, which is of great significance for saving operational costs, raising renewable energy source utilisation ratio and improving reliability of power supply in island. This study proposes a CCO model for stand-alone wind–PV–diesel–battery micro-grid based on an improved binary bat algorithm (BBA). CCO is formulated as a multi-objective integer programming problem with three conflictive objective functions (i.e. economic, reliability, and environmental criteria) and various non-linear constraints. Aiming at the local optimal problem caused by directly applying continuous optimisation algorithm into integer programming model, an improved BBA (IBBA) is proposed to solve this problem, which adopts mutation, crossover, and selection operations from differential evolution to improve the global searching ability of standard BBA. Finally, a simulation case is conducted to verify feasibility and effectiveness of the proposed method, in which IBBA is compared with genetic algorithm and particle swarm optimisation. The simulation results indicate that IBBA shows better performance in terms of both the solution quality and convergence speed. |
| Starting Page | 2083 |
| Ending Page | 2087 |
| Page Count | 5 |
| Volume Number | 2017 |
| e-ISSN | 20513305 |
| Issue Number | Issue 13, Jan (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2017/13 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2017.0696 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2017-01-01 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Battery Storage Plants Capacity Configuration Optimisation CCO Model Combinatorial Mathematics Conflictive Objective Function Continuous Optimisation Algorithm Diesel Power Stations And Plants Diesel-electric Generators Differential Evolution Distributed Power Generation Evolutionary Computation Hybrid Power System IBBA Improved BBA Improved Binary Bat Algorithm Integer Programming Local Optimal Problem Multiobjective Integer Programming Problem Nonlinear Constraint Nonlinear Programming Operational Cost Optimisation Technique Photovoltaic Power System Power Generation Reliability Power Supply Reliability Improvement Reliability Renewable Energy Source Utilisation Ratio Search Problem Secondary Cell Solar Power Stations Standalone Microgrid Standalone Wind-PV-diesel-battery System Wind Power Plant |
| Content Type | Text |
| Resource Type | Article |
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